Servicenow Developer

Essential Skills & Experience

1. AI-Driven Product Development (PDLC)

• 2+ years experience in software engineering using Java, Python, or similar, delivering production-ready code.
• Strong capability across design, solutioning, development, and unit testing, with a focus on quality, scalability, and maintainability.
• Proven experience delivering error-free code with full unit test coverage and performing wider impact analysis before implementation.

2. ServiceNow & AI-Enabled Engineering

• Hands-on experience developing on ServiceNow (preferred) or similar enterprise platforms.
• Experience integrating AI capabilities (LLMs, AI agents, RAG patterns) into platforms using APIs and event-driven patterns.
• Exposure to ServiceNow Now Assist, Copilot Studio, KIRO or equivalent AI-enabled tooling is desirable.

3. AI-Assisted Development & Automation

• Practical experience using AI tools and copilots to accelerate development, testing, documentation, and code reviews.
• Ability to embed AI into engineering workflows to improve productivity and time to market.
• Strong mindset for automation-first development and deployment

4. DevOps, Environments & Operability

• Good understanding of DevOps practices, CI/CD pipelines, and infrastructure as code.

• Experience working across multi-environment setups (Dev / Test / Prod) with controlled promotion paths.

• Familiarity with containerisation (Docker) and orchestration concepts (Kubernetes desirable).

• Ability to analyse and resolve production issues, driving stability and continuous improvement.

5. Governance, Security & Responsible AI

• Strong understanding of enterprise security, privacy, and compliance requirements.
• Experience applying responsible AI practices, including data handling, prompt safety, and auditability.
• Ability to balance speed of delivery with governance and control.

6. Professional Capability & Collaboration

• Ability to work independently with accountability in a fast-paced delivery environment.
• Strong collaboration skills with product owners, platform teams, and operations.
• Willingness to share innovation ideas, contribute to reusable assets, and act as an advocate for AI-driven PDLC.

Behavioural & Professional Attributes

• Strong ownership mindset with a focus on outcomes and impact
• Comfortable working in ambiguous, fast-evolving AI landscapes
• Ability to influence without authority and work across multiple teams
• Passion for continuous learning and innovation in AI engineering